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6 materials found

Authors: Jan Slifka  or Maria Victoria ... 


DS Wizard and its Use

This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make...

Scientific topics: Data management

Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data

Resource type: Presentation

DS Wizard and its Use http://tess.elixir-uk.org/materials/ds-wizard-and-its-use This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make data management planning easier and more efficient, as well as possibilities of customization and integrations with other systems in institutions. Data management DMP, DMP tools, data stewardship, FAIR, FAIR data Researchers data stewards
A Gentle Introduction to DSW for Convergers

[Data Stewardship Wizard](https://ds-wizard.org) brings together data stewards and researchers to efficiently compose data management plans (DMPs) for their research projects. Data stewards capture their knowledge and expertise in so-called knowledge models that are turned into smart...

Scientific topics: Data governance, Data management

Keywords: Data managment plan, data stewardship, data management, software tools

Resource type: Video, Slides, Webinar

A Gentle Introduction to DSW for Convergers http://tess.elixir-uk.org/materials/a-gentle-introduction-to-dsw-for-convergers [Data Stewardship Wizard](https://ds-wizard.org) brings together data stewards and researchers to efficiently compose data management plans (DMPs) for their research projects. Data stewards capture their knowledge and expertise in so-called knowledge models that are turned into smart questionnaires filled by researchers. They can then export their answers to human-readable documents following the well-known templates such as Science Europe or Horizon 2020; or machine-actionable files for further processing. Data governance Data management Data managment plan, data stewardship, data management, software tools data managers Researchers data stewards
Data Stewardship Wizard Workshop (Feb 2020)

[Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...

Scientific topics: Data management, Data governance

Keywords: Data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar, Slides

Data Stewardship Wizard Workshop (Feb 2020) http://tess.elixir-uk.org/materials/data-stewardship-wizard-workshop-feb-2020 [Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers. This workshop explains the core functionality of the Data Stewardship Wizard. Video recording from the workshop is available **[here](https://www.youtube.com/watch?v=aGpr6JFMuiE)**. Data management Data governance Data management plan, data stewardship, FAIR, data management, software tools Researchers data stewards
TGAC Metagenomics: From bench to data analysis

This course took place at TGAC on 8-12 September 2014 What is the workshop about? A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem...

Scientific topics: Metagenomics

Keywords: Metagenomics

TGAC Metagenomics: From bench to data analysis http://tess.elixir-uk.org/materials/tgac-metagenomics-from-bench-to-data-analysis This course took place at TGAC on 8-12 September 2014 What is the workshop about? A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem solving activity utilizing the bioinformatics training they will be receiving during the course. What will it cover? To provide an overview of the main aspects involved in metagenomics from the bench to data analysis and discussion around the interpretation and actual examples of the impact and applications of metagenomics derived research Target Audience: This course is aimed at advanced PhD students and post-doctoral researchers who are doing or planning to start research in the field of metagenomics. Metagenomics Metagenomics PhD postdocs 2015-06-25 2017-10-09
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers

Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014 What is this workshop about? The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on: Automated and standardized data...

Scientific topics: Sequence analysis, Plant biology, Database management, Bioinformatics

Keywords: Ngs, Ngs bioinformatics, Plants bioinformatics

TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers http://tess.elixir-uk.org/materials/tgac_seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014 What is this workshop about? The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on: Automated and standardized data analysis for plant species data Data quality checks Estimation of reproducibility Batch effects Statistical concepts Importance of standards Data formats Data integration What will I learn? To discuss and reflect on best practice of experimental design and control for using NGS technologies in their context of addressing biological questions Identify key challenges, opportunities and bottlenecks Offering a platform for discussion and exploration of the challenges in plant research with a particular emphasis for agri-bioinformatics Sequence analysis Plant biology Database management Bioinformatics Ngs, Ngs bioinformatics, Plants bioinformatics PhD students plant researchers post-docs 2015-06-22 2017-10-09
Next Generation Sequencing (NGS) wikibook

Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to...

Keywords: Bioinformatics, Next generation sequencing, Ngs

Next Generation Sequencing (NGS) wikibook http://tess.elixir-uk.org/materials/next-generation-sequencing-ngs-wikibook Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to foster novel discovery in biomedical research. However, as the quantities of sequence data increase exponentially, the analysis bottle-neck is yet to be solved. The current sources for NGS informatics are extremely fragmented. A novice could read review articles in various journals, follow discussion threads on forums such as Biostar[1] or SEQanswers [2], or sign up for courses organized by various institutes. Finding a centralized synthesis is much more difficult. Books are available, but the development of the field is so fast that book chapters risk being obsoleted by the time they are even printed. Moreover, cost for a handful of authors to continually update their text would presumably take up a lot of their schedule. Drawing from the obvious goodwill and community spirit displayed on discussion forums, and exploiting the collaborative tools made available by the Wikimedia foundation, we propose to initiate the editing of a collaborative WikiBook on NGS. Our plan is to collect a sufficient amount of text that people will be incentivized to contribute to it, essentially providing the same information as a forum but in a tidier form. Ultimately, our goal is to create a collective lab book that explains the key concepts and describes best practices in NGS. Parnell LD, Lindenbaum P, Shameer K et al. BioStar: an online question & answer resource for the bioinformatics community, PLoS Comput Biol 2011;7:e1002216. Li JW, Schmieder R, Ward RM et al. SEQanswers: an open access community for collaboratively decoding genomes, Bioinformatics 2012;28:1272-1273 Join this initiative now and contribute to further expand and improve the contents and case studies in the NGS wikibook! Read about this initiative and the nine rules for NGS data analysis here: The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability Bioinformatics, Next generation sequencing, Ngs Biologists bioinformaticians computational scientists 2013-07-15 2017-10-09